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International Econometric Review

Economics of the 21st Century

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International Econometric Review

Economics of the 21st Century

  • Aims and Scope
  • Target Audience
  • Submission Guidelines
  • Online Submission
  • Articles
  • Included Indexes
  • Editorial Board
  • Authors
  • Reviewers
  • Ethics and Publication Policy

E R A

  • Mission
  • Statute
  • Board of Directors
  • Members

Ekonometrik Araştırmalar Derneği

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DATAMACLEA

  • DATAMACLEA'24 Programme
  • DATAMACLEA'25 Programme
  • DATAMACLEA'26 Programme

Training Programs

  • Online Lessons

Projects

  • Projects

Data

  • Data Page

Seminars

  • Seminars
  • Seminar Summaries

Contact Us

  • I want to become a member!
  • Your Comments and Suggestions

Social Media

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© 2026 Econometric Research Association. All rights reserved.

Econometric Research Association

ERA — Turkey's Econometric Research, Training and Publication Platform

Announcement

International Econometric Review New Issue!

IER, Volume 17, Issue 2

December 2025
View Details
Announcement

Datamaclea'26 Programme

Econometric Research Association 3rd International Data Analytics and Machine Learning Conference

May 11 - 13, 2026
View Details

Latest Publications

December 2025(Vol. 17, No. 2)Latest

View Issue
Analysis of the Relationship between R&D and Pharmaceutical Foreign Trade: A Macro and Micro Data Analysis
Alper Akpınar, Mert Abay, Mahir Tosunoğlu, Bülent Kılıç, Sedef Akgüngör
Pages: 1-17
Abstract
Introducing the Synergy Based Approach for Forecasting the Crude Oil Prices with Traditional and Machine Learning Econometric Models
Arslan Munir Turk, Saud Ahmed Khan, Muhammad Aamir, Zahanat Hussain
Pages: 18-33
Abstract
Financial Structure, Innovation, and Technical Inefficiency in Turkish Manufacturing Two-Digit Industries: Evidence from a Stochastic Frontier Model
Hamidreza Savehdarbandsari, Seyid Mahmud
Pages: 34-51
Abstract
The Spatial Effects of Digital Finance: Implications for Economic Growth, Regional Development, and Financial Inclusion
Arzdar Kiraci, Fatma Mansour
Pages: 52-78
Abstract

June 2025(Vol. 17, No. 1)

View Issue
A Regional Financial Analysis of Airline Companies in COVID-19: Asia-Pacific Region
Olcay Ölçen
Pages: 1-16
Abstract
Impact of High-Speed Railways on Student Preference among Turkish Provinces: A Gravity Model Approach
Şerife Deniz Kolat, Deniz Göktaş, Jülide Andiç
Pages: 17-28
Abstract
The Role of Banks' Lending Standards in Determining Creditworthiness of Firms: Evidence from Turkish Banks
Selman Dal, Seyid Fahri Mahmud
Pages: 29-43
Abstract
Forecasting the XBANK Index in Türkiye Using Macroeconomic Indicators: A Model Comparison with Ensemble Learning Methods
Merve Mert Sarıtaş
Pages: 44-58
Abstract
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Frequently Asked Questions

Econometrics is a branch of economics that uses statistical methods to analyze economic data and test economic theories. Econometrics helps economists test their theoretical models against real-world data and better understand economic relationships.
EAD is a non-profit organization established in 1996 to support econometric research in Turkey, promote academic studies, and bring together researchers working in this field.
EAD organizes online and in-person training programs on econometrics, statistics, data analysis, time series econometrics, panel data analysis, and machine learning. Training programs are designed to be both theoretical and practical.
To become a member of EAD, you can fill out the application form in the 'Membership' section of our website. Both student and professional membership options are available.
DATAMACLEA (Data Analytics and Machine Learning Conference) is an international conference organized by EAD. It brings together researchers, academics, and professionals in the fields of data analytics and machine learning.
EAD regularly publishes a peer-reviewed academic journal. The journal publishes original research articles in econometrics, statistics, and related fields. All articles can be accessed free of charge on our website.
For basic programs, an undergraduate degree in economics, business, or a related field is sufficient. For advanced programs, basic knowledge of econometrics or statistics is recommended. Detailed prerequisites for each program are specified on the program page.